JPMorgan Chase
Asset Management- Equities Quantitative Developer - Vice President/Associate
$170K–$285K
New York, NY · Director · Full-time · Posted Aug 11, 2026
- Experience
- 3+ years in relevant fields.
- Education
- Degrees in Computer Science or Engineering.
About the job
Develop and operate data pipelines, quantitative applications, and machine-learning workflows supporting equity investment research and production for asset management clients.
What you'll do
- Manage production processes, translate research models into production, and automate portfolio-manager reports.
- Improve research workflows, data pipelines, alpha-model estimation, and backtesting; onboard and analyze datasets.
- Develop production-ready machine-learning pipelines and conduct quantitative equity investment research.
What they ask for
- 3+ years of experience in relevant fields.
- Degree in Computer Science or Engineering.
- Proficiency in Python, database management across SQL, NoSQL, and Snowflake, ETL pipelines, and application architecture within AWS.
- Experience with Git-based workflows and Airflow or similar tools; knowledge of statistics and finance, particularly equity asset management, quantitative equity investing, or portfolio construction.
Nice to have
- Experience with tax-aware long-short optimization and vendor optimization platforms such as MSCI Barra Open Optimizer.
- Knowledge of Machine Learning, Natural Language Processing, unstructured data, ML inference pipelines, or Matlab.
Pay
$170,000.00-$285,000.00 USD base salary
Tools
Python, SQL, NoSQL, Snowflake, ETL, AWS, Git, Airflow
AI focus
Develop sophisticated end-to-end machine-learning pipelines for research that can be deployed in production; preferred experience includes ML inference using text, timeseries, or financial data.
Model-written summary · the original posting is authoritative